In each of Problems
(a) Determine all critical points of the given system of equations.
(b) Find the corresponding linear system near each critical point.
(c) Find the eigenvalues of each linear system. What conclusions can you then draw about the nonlinear system?
(d) Draw a phase portrait of the nonlinear system to confirm your conclusions, or to extend them in those cases where the linear system does not provide definite information about the nonlinear system.
(e) Draw a sketch of, or describe in words, the basin of attraction of each asymptotically stable critical point.

Want to see the full answer?
Check out a sample textbook solution
Chapter 7 Solutions
DIFFERENTIAL EQUATIONS W/WILEYPLUS
Additional Math Textbook Solutions
Calculus for Business, Economics, Life Sciences, and Social Sciences (14th Edition)
A First Course in Probability (10th Edition)
Pre-Algebra Student Edition
University Calculus: Early Transcendentals (4th Edition)
Elementary Statistics: Picturing the World (7th Edition)
College Algebra with Modeling & Visualization (5th Edition)
- Suppose that a particle moves along a straight line with velocity v (t) = 62t, where 0 < t <3 (v(t) in meters per second, t in seconds). Find the displacement d (t) at time t and the displacement up to t = 3. d(t) ds = ["v (s) da = { The displacement up to t = 3 is d(3)- meters.arrow_forwardLet f (x) = x², a 3, and b = = 4. Answer exactly. a. Find the average value fave of f between a and b. fave b. Find a point c where f (c) = fave. Enter only one of the possible values for c. c=arrow_forwardThe following data represent total ventilation measured in liters of air per minute per square meter of body area for two independent (and randomly chosen) samples. Analyze these data using the appropriate non-parametric hypothesis testarrow_forward
- each column represents before & after measurements on the same individual. Analyze with the appropriate non-parametric hypothesis test for a paired design.arrow_forwardShould you be confident in applying your regression equation to estimate the heart rate of a python at 35°C? Why or why not?arrow_forwardGiven your fitted regression line, what would be the residual for snake #5 (10 C)?arrow_forward
- Calculate the 95% confidence interval around your estimate of r using Fisher’s z-transformation. In your final answer, make sure to back-transform to the original units.arrow_forwardCalculate Pearson’s correlation coefficient (r) between temperature and heart rate.arrow_forwardCalculate the least squares regression line and write the equation.arrow_forward
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
